by line · MCP Server · ★ 756
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日本語版 READMEはこちら LINE Bot MCP Server Model Context Protocol (MCP) server implementation that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account. [!NOTE] This repository is provided as a preview version. While we offer it for experimental purposes, please be aware that it may not include complete functionality or comprehensive support. Tools pushtextmessage Push a simple text message to a user via LINE. Inputs: (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either or must be set. (string): The plain text content to send to the user. pushflexmessage Push a highly customizable flex message to a user via LINE. Inputs: (string?): The user ID to receive a message. Defaults to DESTINATIONUSERID. Either or must be set. (string): Alternative text shown when flex message cannot be displayed. (any): The contents of the flex message. This is a JSON object that defines the layout and components of the message. (enum): Type of the container. 'bubble' for single co
| Stars | 756 |
| Forks | 143 |
| Language | TypeScript |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 75.8208515384631/100 |
| Open Issues | 11 |
| Last Updated | 2026-08-08 |
| Created | 2025-04-04 |
| Platforms | mcp, node |
| Est. Tokens | ~16k |
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line-bot-mcp-server is MCP server that integrates the LINE Messaging API to connect an AI Agent to the LINE Official Account.. It is categorized as a MCP Server with 756 GitHub stars.
line-bot-mcp-server is primarily written in TypeScript. It covers topics such as line, linebot, mcp.
You can find installation instructions and usage details in the line-bot-mcp-server GitHub repository at github.com/line/line-bot-mcp-server. The project has 756 stars and 143 forks, indicating an active community.
line-bot-mcp-server is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to line-bot-mcp-server on Agent Skills Hub include MCP-Chinese-Getting-Started-Guide, py-xiaozhi, ComfyUI-OpenClaw. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.